IHC digital preview recognition and organization foreground segmentation method and system

A foreground segmentation and preview image technology, applied in image analysis, image enhancement, image data processing and other directions, can solve the problems of incomplete foreground recognition, inconsistent effect, difficult extraction effect, etc., to achieve good recognition effect, improve accuracy and accurate recognition. high degree of effect

Active Publication Date: 2021-01-26
览思(宁波)智能科技有限公司
View PDF5 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The tissue presented by immunohistochemically stained digital slides is inconsistent with other digital slides; immunohistochemical staining is very light, and in many cases the color of the foreground tissue is almost close to the background of the slide, and many impurities are presented. All aspects of the color are basically consistent with the scene tissue, which makes it difficult to extract satisfactory results with general image processing methods. The conventional recognition process is either easy to process other impurities into the scene tissue, or it is the real tissue The foreground recognition is incomplete, and it is difficult to obtain effective recognition results
This shows that the traditional simple image processing is ineffective for the processing of immunohistochemical digital slides, and a more breakthrough thinking method is needed

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • IHC digital preview recognition and organization foreground segmentation method and system
  • IHC digital preview recognition and organization foreground segmentation method and system
  • IHC digital preview recognition and organization foreground segmentation method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0031] Such as figure 1 As shown, the IHC digital preview image recognition and tissue foreground segmentation method of the present embodiment include:

[0032] 1) A preview of the IHC figures against the input (e.g. figure 2 shown), extract the binary mask map M1 containing the tissue part and the impurity part (such as image 3 shown); wherein, the input IHC digital preview image can be obtained by using a digital slide scanner to obtain digital slides of immunohistochemical tissue images;

[0033] 2) According to the preset area threshold T1, all connected domains in the binary mask map M1 are divided into large-area connected domain contour sets q b and the set of small-area connected domain contours q s ;

[0034] 3) Contour collections for large-area connected domains q b For each connected domain outline in , it is corresponding to the corresponding area in the original IHC digital preview image, the features of the corresponding area are extracted and the fe...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses an IHC digital preview image identification and organization foreground segmentation method and system, and the method comprises the steps: extracting a binary mask image M1 comprising an organization part and an impurity part for an inputted IHC digital preview image; dividing all connected domains in the binary mask map M1 into a large-area connected domain contour set qband a small-area connected domain contour set qs; and for each connected domain contour in the large-area connected domain contour set qb, corresponding the connected domain contour to a corresponding region in an original IHC digital preview, extracting features of the corresponding region, classifying the features through a machine learning model to remove impurity connected domain contours, and leaving connected domain contours of tissues. According to the method, the tissue foreground can be segmented for the IHC digital preview which is slightly dyed and has the foreground tissue color almost close to the slide background, and the method has the advantages of being high in recognition accuracy and good in recognition effect.

Description

technical field [0001] The invention relates to the field of digital image processing, the field of biomedical engineering technology and the field of micropathological imaging, in particular to an IHC digital preview image recognition and tissue foreground segmentation method and system. Background technique [0002] In order to automatically scan the entire process of digital slides, minimize the travel of the scanner’s stage, and shorten the entire scanning time, the primary task of the scanner is to complete the preview and range confirmation of the tissue on the slide, and reduce the number of blank areas added to the slide. During the scanning process; this requires that the real tissue area should be identified as completely as possible, and the interference of artifacts caused by other impurities should be removed; therefore, the primary task of a digital slide scanner is to accurately preview and identify digital slides. Very important; for HE-stained digital slides...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/136G06T7/187G06T7/194G06T7/90
CPCG06T7/0012G06T2207/10056G06T7/136G06T7/187G06T7/194G06T7/90
Inventor 余莉韩方剑黄少冰
Owner 览思(宁波)智能科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products